bert_config.ipynb

{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "ml",
   "display_name": "ML",
   "language": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import BertConfig\n",
    "\n",
    "config = BertConfig(\n",
    "    vocab_size=30_522,  # we align this to the tokenizer vocab_size\n",
    "    hidden_size=768,\n",
    "    num_hidden_layers=12,\n",
    "    pad_token_id=0\n",
    ")"
   ]
  }
 ]
}